A fusion sparse learning algorithm for fault identification of rolling bearings

• Yefeng Liu,

  Roles Methodology, Software, Writing – original draft

  Affiliations Liaoning Key Laboratory of Information Physics Fusion and Intelligent Manufacturing for CNC Machine, Shenyang Institute of Technology, Fushun, Liaoning, China, School of Automation and Electrical Engineering, Linyi University, Linyi, Shandong, China

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• Jingjing Liu ,

  Roles Conceptualization, Methodology, Writing – original draft, Writing – review & editing

  * E-mail: liujingjing@situ.edu.cn

  Affiliations Liaoning Key Laboratory of Information Physics Fusion and Intelligent Manufacturing for CNC Machine, Shenyang Institute of Technology, Fushun, Liaoning, China, Department of Basic Courses, Shenyang Institute of Technology, Fushun, Liaoning, China

  https://orcid.org/0000-0002-7335-9423

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• Yanwei Ma,

  Roles Formal analysis, Software, Writing – original draft

  Affiliations Liaoning Key Laboratory of Information Physics Fusion and Intelligent Manufacturing for CNC Machine, Shenyang Institute of Technology, Fushun, Liaoning, China, School of Mechanical Engineering and Automation, Shenyang Institute of Technology, Fushun, Liaoning, China

  https://orcid.org/0009-0006-0839-5838

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• Shuai Wang,

  Roles Software

  Affiliation School of Automation and Electrical Engineering, Shenyang Ligong University, Shenyang, Liaoning, China

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• Qichun Zhang

  Roles Writing – review & editing

  Affiliation School of Creative and Digital Industries, Buckinghamshire New University, High Wycombe, United Kingdom

  https://orcid.org/0000-0003-2479-8195

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